Quality Inspection of Phalaenopsis Hybrids Using Hyperspectral Band Selection Techniques

Yen Chieh Ouyang, Bo Han Chen, Meng Chueh Lee, Tsang Sen Liu, Mang Ou-Yang, Hsian Min Chen, Chao Cheng Wu, Chia Hsien Wen, Min Shao Shih, Chein I. Chang, Yung Jhe Yan

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Fusarium wilt on Phalaenopsis is a disease that makes farmers suffer seriously. Although Phalaenopsis does not die immediately with Fusarium wilt, it seriously decreases the quality that buyers cannot accept. In this paper, we introduce an emerging method to detect Fusarium wilt at the base of Phalaenopsis stems. The detection model divides Phalaenopsis samples into two categories, healthy and infection. The band selection (BS) processing technique based on band prioritization (BP) is applied to extract significant bands and eliminate redundant bands. Subsequently, some algorithms which are constrained energy minimization (CEM), spectral information divergence(SID) and SeQuential N-FINDER to detect the Fusarium wilt, and we hope the research would help farmers decrease their losses.

原文English
主出版物標題2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2201-2204
頁數4
ISBN(電子)9781538691540
DOIs
出版狀態Published - 七月 2019
事件39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
持續時間: 28 七月 20192 八月 2019

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
國家/地區Japan
城市Yokohama
期間28/07/192/08/19

指紋

深入研究「Quality Inspection of Phalaenopsis Hybrids Using Hyperspectral Band Selection Techniques」主題。共同形成了獨特的指紋。

引用此